Manifestation of research teams in journal literature: A growth model of papers, authors, collaboration, coauthorship, weak ties, and Lotka's law

Steven A. Morris and Michel L. Goldstein

Journal of the American Society for Information Science and Technology, 2007, vol. 58, issue 12, 1764-1782

Abstract: This article introduces a team‐based model of researchers in a specialty and investigates the manifestation of such teams in a specialty's literature. The proposed qualitative behavioral model, with its mathematical expression as a growth model, is significant because it simultaneously describes the two phenomena of collaboration and author productivity (Lotka's law) in a specialty. The model is nested: A team process models the creation of research teams and the success‐breeds‐success process of their production of articles, while at a lower level the productivity of authors within teams is also modeled as a success‐breeds‐success process. Interteam collaboration (weak ties) is modeled as random events. This simple growth model is shown to faithfully mimic six network metrics of bipartite article‐author networks. The model is demonstrated on three example article collections from specialties that have a wide range of degree of collaboration: (a) a distance education collection with low collaboration degree, (b) a complex networks collection with typical collaboration degree, and (c) an atrial ablation collection with heavy collaboration degree.

Date: 2007
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Persistent link: https://EconPapers.repec.org/RePEc:bla:jamist:v:58:y:2007:i:12:p:1764-1782

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